Uses of Class
de.jstacs.classifier.scoringFunctionBased.gendismix.GenDisMixClassifier

Packages that use GenDisMixClassifier
de.jstacs.classifier.scoringFunctionBased.gendismix Provides an implementation of a classifier that allows to train the parameters of a set of NormalizableScoringFunctions by a unified generative-discriminative learning principle 
de.jstacs.classifier.scoringFunctionBased.msp Provides an implementation of a classifier that allows to train the parameters of a set of ScoringFunctions either by maximum supervised posterior (MSP) or by maximum conditional likelihood (MCL) 
 

Uses of GenDisMixClassifier in de.jstacs.classifier.scoringFunctionBased.gendismix
 

Methods in de.jstacs.classifier.scoringFunctionBased.gendismix that return GenDisMixClassifier
 GenDisMixClassifier GenDisMixClassifier.clone()
           
static GenDisMixClassifier[] GenDisMixClassifier.create(GenDisMixClassifierParameterSet params, LogPrior prior, double[] weights, NormalizableScoringFunction[]... functions)
          This method creates an array of GenDisMixClassifiers by using the cross-product of the given NormalizableScoringFunctions.
 

Uses of GenDisMixClassifier in de.jstacs.classifier.scoringFunctionBased.msp
 

Subclasses of GenDisMixClassifier in de.jstacs.classifier.scoringFunctionBased.msp
 class MSPClassifier
          This class implements a classifier that allows the training via MCL or MSP principle.